Staff Software Engineer AI

Mercury Insurance is recognized for its achievements and culture, and they are seeking a Staff Software Engineer focused on Generative AI initiatives. The role involves providing technical leadership in implementing Generative AI solutions to solve complex business problems and mentoring engineers on integrating AI into existing software systems.

Responsibilities:

• Apply Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features
• Integrate Generative AI models and capabilities into production software applications, bridging the gap between Generative AI research and practical software engineering implementation
• Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases, considering factors like performance, cost, maintainability, and business impact
• Write high-quality code that combines traditional software engineering with AI components, ensuring robust integration, proper error handling, and comprehensive test coverage
• Review and translate product requirements into technical solutions that leverage AI effectively, designing systems that seamlessly blend AI capabilities with core application functionality
• Lead design and code reviews for AI-enhanced applications, ensuring best practices in both software engineering and AI implementation while maintaining Mercury standards
• Lead multiple sprint teams to deliver AI-powered features and improvements, addressing technical challenges in integrating AI into existing software systems
• Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities and translate them into practical software solutions
• Mentor engineers on how to effectively incorporate AI into their software development practices, promoting understanding of AI capabilities and limitations
• Drive practical AI adoption across teams by demonstrating how to effectively combine software engineering principles with AI technologies
• Collaborate with product managers to estimate effort for AI-enhanced features, prioritize AI integration opportunities, and deliver measurable business value through AI implementation

Requirements:

• Bachelor's Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience
• 7+ years software engineering experience with proven experience in cutting-edge Technologies and/or those used at Mercury
• 3+ years hands-on experience leading multi-team engineering initiatives for building features in a distributed application systems environment
• Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript)
• Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions
• Skilled in APIs using modern protocols like REST and gRPC
• Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture
• Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure
• Experienced in leveraging DevSecOps to improve engineering efficiency
• Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable
• Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness
• Excellent problem-solving skills leading to innovative solutions
• Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results
• Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area
• Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability
• Experienced in driving technical strategy and vision for multiple teams
• Master's Degree in Data Science
• 5 or more years of experience with Data Science, NLP, AI, etc
• 5 or more years of experience working on production ready conversational AI related initiatives including leveraging closed and open source models and libraries including enterprise platform
• Experience with Agentic AI, RAG, Prompt, human in the loop evaluation
• Experience with product data analytics